Yield is a quantitative trait known to be influenced by changes in the environment in which the crop is grown, suggesting the need to evaluate soybean lines in different growing regions to assess their adaptability and stability. The objective of this study was to evaluate the performance, yield stability, and genotype × environment interaction (G×E) in soybean cultivars, and the informativeness of six environments in Southern Africa. A group of 62 soybean lines was grown and tested in six locations in Malawi and Zambia during the growing seasons in 2018 and 2019 using a 6 x 5 and 5 x 5 alpha lattice design. Genotype plus genotype × environment (GGE) biplots were used to reduce data complexity and analyze genotypes performance and stability; environments discriminativeness and representativeness; and traits associated with yield. The GGE analyses showed a significant effect of genotypes, environments, and G×E. Genotypes with local and wide adaptation and environments with desirable characteristics for testing cultivars were identified. A number of agronomic traits were identified to be positively and negatively associated with soybean yield. These results reinforce the utility of GGE analysis for ranking cultivars and environments in soybean breeding programs in Southern Africa.
Key words: GGE, yield, adaptation, stability, heritability, flowering.
AMMI, Additive Main effect and Multiplicative Interaction; GGE, Genotype plus genotype by environment; G X E, genotype by environment interaction
Copyright © 2022 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0